PRESS RELEASE. LABOUR FORCE SURVEY: October 2018 HELLENIC REPUBLIC HELLENIC STATISTICAL AUTHORITY. Piraeus, 10 January 2019

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1 HELLENIC REPUBLIC HELLENIC STATISTICAL AUTHORITY Piraeus, 10 January 2019 PRESS RELEASE LABOUR FORCE SURVEY: October The Hellenic Statistical Authority (ELSTAT) announces the ly adjusted unemployment rate for October. The ly adjusted unemployment rate in October was 18.6% compared to 21.0% in October 2017 and 18.6% in September. The number of employed in October amounted to 3,843,979 persons. The number of unemployed amounted to 875,997 while the number of inactive to 3,243,079. The corresponding figures for October 2013 to are presented in Table 1. The number of employed persons increased by 78,040 persons compared with October 2017 (a 2.1% rate of increase) and decreased by 30,283 persons compared with September (a 0.8% rate of decrease). The number of unemployed persons decreased by 122,090 persons compared with October 2017 (a 12.2% rate of decrease) and by 11,374 persons compared with September (a 1.3% rate of decrease). The number of inactive persons, i.e., persons that neither work nor look for a job, increased by 5,074 persons compared with October 2017 (a 0.2% rate of increase) and by 38,414 persons compared with September (a 1.2% rate of increase). Seasonal is a statistical technique that removes the component of a time series, making more visible the underlying trend in the change of a characteristic. Users should take into account the fact that procedure requires data for many months in order to remove the component from a time series. As a result, several observations (that is a sufficient number of monthly results) are necessary so that the time series reflect a significant change in the trend of employment and unemployment. The monthly estimates for the number of employed, unemployed and unemployment rate can be subject to revisions in the following months caused by updates to the ly adjusted series whenever new monthly data are added, inclusion of the most recent quarterly Labour Force Survey (LFS) data and update of model with complete annual data. Users should also take into account that the first estimates of the most recent monthly unemployment rates are likely to be revised as they are produced with the collected and processed at the time of the press release survey data, which do not coincide with the finally collected and processed sample of the survey. For that reason monthly estimates are revised when the final quarterly estimates are known. Information: Population and Labour Market Statistics Division Labour Force Statistics Section Dimitris Vatikiotis Tel: Fax: lfs@statistics.gr

2 Jan-04 Aug-04 Mar-05 Oct-05 May-06 Dec-06 Jul-07 Feb-08 Sep-08 Apr-09 Nov-09 Jun-10 Jan-11 Aug-11 Mar-12 Oct-12 May-13 Dec-13 Jul-14 Feb-15 Sep-15 Apr-16 Nov-16 Jun-17 Table 1: Employed, unemployed, economically non-active persons and unemployment rate, October 2013 October Employed 3,487,153 3,554,917 3,623,642 3,661,879 3,765,939 3,843,979 Unemployed 1,334,509 1,242,276 1,177,929 1,110, , ,997 Inactive 3,349,185 3,322,182 3,272,605 3,262,090 3,238,005 3,243,079 Unemployment Rate Graph 1: Unemployment rate by month, October The values of the curve refer to October of every year Tables 2 and 3 illustrate unemployment rate by gender and age groups from October 2013 to. Table 4 presents the evolution of unemployment rate during last 15 months by Decentralized Administrations. The complete time series for employed, unemployed, inactive and unemployment rate are available on ELSTAT s website. Table 2: Unemployment rate by gender, October Gender October Males Females Total

3 Table 3: Unemployment rate by age groups 1, October Age Group October Total Table 4: Unemployment rate during August October, by Decentralized Administration 2 Decentralized Administration 8th th th st 10th nd 11th th st 2nd 3d 4th 5th 6th 7th 8th 9th 10th Macedonia-Thrace Epirus-Western Macedonia Thessaly Sterea Ellas Peloponnese, Western Greece & Ionian Islands Attica Aegean Islands Crete Greece, Total Estimates of rare characteristics, that is estimates of characteristics that refer to 10,000 persons or less are accompanied by large sampling errors, as for example in the case of unemployment rate in the age group of years old 2 Decentralized Administrations are the lowest geographical areas for which the Labour Force Survey (LFS) publishes estimates. LFS results are not published at lower level (NUTS 2 or NUTS 3) because, due to small population and sample size, estimates in these areas have large sampling errors. It should be noted that the same problem of small populations and sample sizes exist also in certain Decentralized Administrations and as a result, estimates in these areas have large sampling errors 3

4 Aug-17 Sep-17 Oct-17 Nov-17 Dec-17 Feb-18 Mar-18 Apr-18 May-18 Jun-18 Jul-18 Sep-18 Oct-18 The effect of on the estimates of Labour Force Survey The characteristics surveyed by Labour Force Survey (number of employed, unemployed, etc.) have large variation. For example, in Greece, employment increases during summer months because of tourism (if there are no other countervailing factors). Table 5 presents the change in monthly estimates of employed and unemployed because of for the period August 2017 October while Graphs 2, 3 and 4 present adjusted and unadjusted time series for employed persons, unemployed persons and the rate of unemployment for the same period. Table 5: Change in monthly estimates of employed and unemployed persons due to Estimated number of employed without (in thousands) Change due to (in thousands) Change (%) Estimated number of unemployed without (in thousands) Graph 2: Unemployment Rate - Adjusted and Non-adjusted Estimates Change due to (in thousands) Change (%) August , September , October , November , , December , , January 3, February 3, , March 3, April 3, May 3, June 3, July 3, August 3, September 3, October 3, WITHOUT WITH

5 Aug-17 Sep-17 Oct-17 Nov-17 Dec-17 Feb-18 Mar-18 Apr-18 May-18 Jun-18 Jul-18 Sep-18 Oct-18 Aug-17 Sep-17 Oct-17 Nov-17 Dec-17 Feb-18 Mar-18 Apr-18 May-18 Jun-18 Jul-18 Sep-18 Oct-18 Graph 3: Number of Employed Persons - Adjusted and Non-adjusted Estimates 4, , , , , , , , , , ,500.0 WITHOUT WITH in thousands Graph 4: Number of Unemployed Persons - Adjusted and Non-adjusted Estimates 1, , WITHOUT WITH in thousands 5

6 Revisions of monthly estimates The monthly estimates for the number of employed, unemployed and unemployment rate can be subject to revisions in the following months caused by updates to the ly adjusted series whenever new monthly data are added, inclusion of the most recent quarterly Labour Force Survey data and update of model with complete annual data. In the current press release the estimation of unemployment rate for the period August 2017 September has been revised (compared to the estimation published in the previous press-release) as follows: Table 6: Comparison of ly adjusted estimates Estimations published in December Estimations published in the current press release August September October November December January February March April May June July August September October

7 EXPLANATORY NOTES Labour Force Survey Legislation Reference Period Labour Force Survey produces estimates since 1981 (second quarter of the year). From 1998 onwards it is a continuous quarterly survey. The main statistical objectives of the Labour Force Survey is to divide the population of working age (15 years and over) into three mutually exclusive and exhaustive groups - persons in employment, unemployed persons and inactive persons. In addition, the Labour Force Survey collects information on demographic characteristics, on main job characteristics, on the existence and characteristics of a second job, on educational attainment, on participation in education, on previous working experience and on search of job. The current survey is completely harmonized with European legislation. The principal legal act is the Council Regulation (EC) No. 577/98 that stipulates the provisions on design, survey characteristics and decision-making processes. The sample of Labour Force Survey is equally allocated to the 4 (or 5) weeks of the month. Every selected household is assigned to a specific week, the reference week, running from Monday to Sunday. Coverage For the monthly estimates, a sub-sample of the quarterly Labour Force survey s sample was used. Definitions Seasonal Sampling errors Methodology References Employed are persons aged 15 years or older, who during the reference week worked, even for just one hour, for pay or profit or they were working in the family business, or they were not at work but had a job or business from which they were temporarily absent. Unemployed are persons aged who were without work during the reference week (they were not classified as employed), were currently available for work and were either actively seeking work in the past four weeks or had already found a job to start within the next three months. Inactive are those persons who are neither classified as employed nor as unemployed. Economically active population (labour force) are persons either employed or unemployed. Unemployment Rate is the ratio of unemployed divided by total labour force. Seasonal is a statistical technique that removes the component of a time series, making more visible the underlying trend in the change of a characteristic. Hellenic Statistical Authority is using Demetra 2.0 for. Seasonally adjusted series are produced by TRAMO&SEATS algorithm. It should be noted that due to the whole series with monthly estimates is recalculated every time a new month is added in time series. As a result, estimations for the previous months are often revised. The monthly results of Labour Force Survey are estimations that are based in a relatively small sample size and have large sampling errors. An indication of the magnitude of survey s sampling errors is that estimations of characteristics that refer to 25,000 persons at the total country are accompanied by a coefficient of variation of at least 15%. More accurate estimates and detailed analysis of the changes in employment can be based on the quarterly results of the survey. Labour Force Survey s estimates are produced by a suitable unbiased estimator which takes in to account a) the probability of selection of every sampled household, b) the response rate in every primary sampling unit, c) the estimated population, for the corresponding month, allocated by NUTS II areas, gender and age group. Analytical description of the Labour Force Survey s methodology and definitions can be found at 7